Triple

T21211161
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Reddick E522722 entity
Predicate notableWork P4 FINISHED
Object Tamara
Tamara is a 2005 supernatural horror film written by Jeffrey Reddick about a bullied high school girl who returns from the dead to exact revenge.
E1472289 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tamara | Statement: [Jeffrey Reddick, notableWork, Tamara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamara
Context triple: [Jeffrey Reddick, notableWork, Tamara]
  • A. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • B. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • C. Alessandra
    Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • D. Tamara Muro
    Tamara Muro is a business associate of Christine Baumgartner, known in connection with Baumgartner’s professional ventures.
  • E. Ariela
    Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tamara
Triple: [Jeffrey Reddick, notableWork, Tamara]
Generated description
Tamara is a 2005 supernatural horror film written by Jeffrey Reddick about a bullied high school girl who returns from the dead to exact revenge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tamara
Target entity description: Tamara is a 2005 supernatural horror film written by Jeffrey Reddick about a bullied high school girl who returns from the dead to exact revenge.
  • A. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • B. Alessandra
    Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • C. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • D. Tamara Muro
    Tamara Muro is a business associate of Christine Baumgartner, known in connection with Baumgartner’s professional ventures.
  • E. Ariela
    Ariela is a feminine given name, often considered a variant of Ariel, used in various cultures and languages.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7346eb20c8190aeb3c0cc0a24aaf9 completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ed4af68819090df625a31aed573 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a0980329bb4819088da49aec70f27a0 completed May 17, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0981b76b108190a0c9ae60c81bd4fc completed May 17, 2026, 8:52 a.m.
Created at: April 16, 2026, 3:37 p.m.